AI & Machine Learning · Computer Science & AI
Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 63
Interpretable Brain Age Prediction Using White Matter Fiber Orientation Distributions with Rotation-Equivariant Deep Learning
Diffusion MRI (dMRI) provides information about white matter microstructure that can support brain age prediction.PosePlaner: Denoising Any Feed-Forward Pose Predictor from Pairwise Planar Geometry
Recent multi-view Transformers (e.g., DUSt3R and VGGT) have advanced 3D reconstruction by scaling training data and model capacity from two views to many views and long sequences, subsuming the…Seeing Before Naming: Context-Grounded Learning of Novel Visual Concepts
Learning an unfamiliar visual category requires more than adapting a classifier: the model must connect its visual evidence to a useful semantic name.Recovering Black-Box Point Cloud Models from Pose Shifts via Derivative-Free Optimization
Point cloud models are increasingly deployed through score-only black-box interfaces.Learning Dual-Camera Smooth Zoom via Decoupled Geometric-Photometric Data Synthesis
When zooming between dual cameras on smartphones, prominent discontinuities in both geometric perspective and color rendition inevitably degrade the visual experience of users.DecoyCount: Evaluating Visual-Reasoning Misalignment in Counting
Visual counting benchmarks report whether vision-language models produce the correct number, but not whether errors arise from perception or reasoning.DocTalk: Enhancing Medical Knowledge Retrieval via Fine-tuned Large Language Models with Chain-of-Thought Reasoning for Robust Clinical Decision Support
The rapid advancement of large language models (LLMs) in healthcare has opened new possibilities for AI-assisted clinical decision-making; however, safe and effective deployment remains challenging…CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning
Change Detection & Captioning (CDC) aims to jointly localize changed regions and describe their semantic content from bi-temporal remote sensing images.LayoutMamba: Efficient Document Layout Analysis with Hybrid Mamba-Transformer Networks
Document layout analysis (DLA) faces a long-standing dilemma: existing methods either capture rich local details at prohibitive computational cost (e.g., Transformer-based approaches with quadratic…MedAdaptAgent: An Automatic Harness for Adapting Medical Imaging Models to New Sites
Reusing pretrained medical-imaging models offers an alternative to training from scratch.MMGNet: Multi-Modal 6-DoF Grasp Synthesis for Cluttered Scenes
Grasping is a foundational capability in robotic manipulation.SGDB: Semantic-Geometric Decoupling and Evidence Binding for Logical Anomaly Detection
Logical anomaly detection requires recognizing scene components and measuring whether their configuration satisfies task constraints.LE-GDA: Layer Ensemble Gaussian Discriminant Analysis for Training-Free Few-Shot CLIP Adaptation
Training-free few-shot adaptation of vision-language models typically constructs a classifier from CLIP's final projected image representation, leaving intermediate representations unused.Accuracy and efficiency of compact foundation models for surface-water mapping during floods
Pretrained Earth observation models may reduce the effort needed to map surface water, but their value depends on the alternative against which they are compared.DiffAuction: An Auction-Driven Framework for Generative Image Advertising
Diffusion models enable multiple advertisers to compete for exposure within a shared generated image.Rethinking Data Imbalance in Class Incremental Surgical Instrument Segmentation
In surgical instrument segmentation, the increasing variety of instruments over time poses a significant challenge for existing neural networks, as they are unable to effectively learn such…Supervising the Visible State: Separating Representation from View Selection in Streaming Video
An action seen once and the same action seen three times receive the same action-recognition label, so that supervision does not require a model to count.Fed-MAPTrack: Federated Modality-aware Prompt Tuning for RGB-X Tracking
RGB-X tracking complements RGB appearance with thermal, depth, or event observations, but centralized training requires collecting multimodal videos at a single location.DimFlow: Bidirectional Grid-Expert Learning for Dynamic Gaussian Reconstruction
Dynamic Gaussian reconstruction requires compact scene features to support coordinated changes in geometry and appearance.GUIFlow: Temporal Redundancy-Aware Incremental Inference for GUI Agents
GUI agents built on vision-language models interact with continuously evolving interfaces, yet conventional inference repeatedly recomputes representations of largely overlapping observations and…